Weighted aggregation and fuzzy-concept-guided signal
resemblance and expansion for video format conversion
Yun Joo Chyung
Jee Yon Lee
Sun Young Jung
Pyoung Won Kim
Received: 22 August 2016 / Revised: 4 February 2017 / Accepted: 21 March 2017 /
Published online: 28 March 2017
Springer Science+Business Media New York 2017
Abstract In this paper, we propose an efficient deinterlacing method for HDTV that preserves
image structures, edges, and details. In the human visual system, the eyes are more sensitive to
high-frequency information such as edge details than low-frequency information such as
image background. Therefore, averaging low-pass filter results is not effective for image
enhancement. The proposed method is a weighted filtering approach that generates a half-
pixel 9-by-9 edge-based line average window. We also propose pixel-resemblance- and pixel-
expansion-based fuzzy weights, which are assigned using a triangular membership function.
Compared to conventional format conversion methods, the proposed method outperforms all
benchmarks in terms of both objective and subjective qualities.
Deinterlacing converts interlaced signals into progressive signals by upsampling the non-
transmitted lines. Video deinterlacing employs an image enhancement technique that is
important in various image processing areas [15, 16, 22], one of which is format conversion.
In the human visual system, the eyes are more sensitive to high-frequency information such as
edge details and structures than low-frequency information such as image background [6, 9,
10, 16]. Therefore, averaging low-pass filter results is not effective for image enhancement.
Cathode ray tube (CRT)-based television allows for an interlaced scanning format only,
while digital high-definition television (HDTV) uses two scanning formats: interlaced scan-
ning (1080i for HDTV and 2160i for UHDTV) and progressive scanning (1080p for HDTV
Multimed Tools Appl (2017) 76:24847–24858
* Pyoung Won Kim
Institutes of Convergence Science and Technology, Incheon National University, 12 Gaetbeol-ro,
Yeonsu-gu, Incheon 21999, Republic of Korea